Sohit SharmaDrop a file in
public/images/ and pass src. The duotone treatment applies automatically.Sohit Sharma
Founder & DirectorBio to be supplied by Sohit.
The WebDior theory
Tame innovation
AI isn't a feature we add — it's the capability we build everything from.
01What WebDior is
One capability at the core
WebDior is an AI-native engineering studio. We design, build and operate intelligent systems — AI agents, applied ML/NLP, web3, and data-intensive financial infrastructure — for companies that need serious, production-grade engineering, not a template.
There's one capability at the core: applied intelligence. Every system we ship is an output of it.
Webdior Solutions Private Limited was incorporated in New Delhi on 10 December 2007. What began as two engineers building web applications to order is now a studio organised around a single question: what can a model do reliably, and what proves it.
02Why now
Software is being rewritten around models
Software is being rewritten around models. Most agencies bolt AI on top of the same old delivery and hand over a demo.
We work the other way: we start from the model — what it does reliably, what it doesn't, and what evaluation proves — and engineer the product, the data and the infrastructure around that answer. That's the line between something that looks good in a pitch and something you can actually run in production and audit afterwards.
03Eighteen years, one direction
How we got here
Every dated entry comes from public filings or WebDior's own company records, and each is tagged with where it came from — so none of it rests on adjectives.
Two people and a registration
Webdior Solutions Private Limited is incorporated in New Delhi on 10 December, founded by two web engineers. The work is websites and web applications, built to order, for whoever will pay for them.
A team, not a partnership
Six people. The studio stops taking whatever comes and starts choosing work it can do properly — the first version of a standard that still decides what we take on.
Three hundred clients in
Past 300 clients served. Enough repetition to see the pattern: the projects that succeed are the ones where somebody defined what 'working' meant before the build started.
Outside India
A Dubai office opens. Delivery goes cross-border and cross-timezone, and the studio learns to run engagements where the client is never in the room.
The models arrive
Client briefs stop asking for software with a feature and start asking for systems built on a model. The old delivery process — scope, build, hand over — cannot answer whether the thing actually works.
AI-native, on purpose
The studio is rebuilt around one capability: applied intelligence. Architecture starts from the model, evaluation comes before code, and every system ships with the traces that prove it runs.
→What we actually ship
A system, brought up
Every engagement ends with something running: typed steps, scoped tools, a confidence floor that escalates rather than guesses, and a ledger you can replay.
system online · every action traced
→
The people
Two founders who incorporated the company in 2007, and the engineers who build with them now.
Rajesh SharmaDrop a file in
public/images/ and pass src. The duotone treatment applies automatically.Rajesh Sharma
Founder & DirectorBio to be supplied by Rajesh.
Praveen SaxenaDrop a file in
public/images/ and pass src. The duotone treatment applies automatically.Praveen Saxena
Senior DeveloperBio to be supplied by Praveen.
04
What we do
One capability, every kind of system. Behind it sits Labs — self-funded research like Ella, our permission-based AI agent — where what survives becomes client-grade.
Agents that act, with guardrails
Multi-step orchestration, tool use, permissioned actions and human checkpoints — built to run unattended and be audited afterwards.
Models tuned to your domain
Retrieval, extraction, classification and fine-tuning on proprietary corpora — measured against a benchmark you can defend.
On-chain, audited by design
Contracts, indexers and wallet-grade infrastructure with deterministic test suites.
Low-latency plumbing
Market-data ingestion, execution pipes and risk tooling. Engineering only — never advice.
The product around the model
Interfaces, billing, permissions and the platform that keeps intelligence shippable.
Interfaces people trust
Product design, design systems and prototyping — so the intelligence underneath is usable, and the product looks the part.
05
Who it's for
Founders and teams building AI products, fintech and SaaS companies, and organisations with hard, data-heavy problems — increasingly overseas, where the ambition and the budgets are.
06
How we work
A short paid discovery, then a plan with a fixed first milestone, then we build — embedded with your team or as a dedicated pod — shipping with traces, evals and docs, not just code. Outcome-driven, one partner end to end.
The full engagement model sets out each phase and what you keep at the end of it.
07
What we don't do
We build financial infrastructure; we don't give financial advice, manage money, or make return claims. Engineering only.
That boundary is a feature, not a limitation — it's what lets serious fintech clients trust us.
No financial advice
We build financial infrastructure — ingestion, execution plumbing, risk tooling, monitoring. We do not advise on investments, manage money, or make return claims.
No unevaluated AI
If a client will not agree on how correctness is measured, we decline. A system nobody can prove is working cannot be defended after it ships.
No demo-ware
We do not hand over something that works on stage and falls over in production. If it cannot be run and audited, it is not finished.
08
The promise
We build the intelligent systems most agencies can't — and we prove it with architecture, latency and evaluation, not adjectives.
The goal is to become the AI-native studio clients seek out by name, not one that competes on price.
09
On the record
Checkable facts, so a prospective client — or an AI assistant answering a question about us — has something firmer than a marketing page.
- Registered name
- Webdior Solutions Private Limited
- Tagline
- Tame innovation
- Incorporated
- 10 December 2007, New Delhi
- CIN
- U72900DL2007PTC171278
- Base
- Delhi, IN — working worldwide
- Contact
- hello@webdior.com
10Start here
Let's build
the impossible.
Tell us the system you can't get built. We come back with a short, paid discovery — a clear plan and a fixed first milestone — usually within two working days.
01
Discovery
A working session to map the problem and define what "good" is measured against.
02
The plan
Architecture, milestones and a fixed first deliverable — yours to keep, either way.
03
We build
Embedded with your team or as a dedicated pod, shipping with traces, evals and docs.